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--- |
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base_model: lupobricco/irony_classification_single_label_base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: ironita_finetuned_singlelabel_prompet |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ironita_finetuned_singlelabel_prompet |
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This model is a fine-tuned version of [lupobricco/irony_classification_single_label_base](https://huggingface.co/lupobricco/irony_classification_single_label_base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2508 |
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- Accuracy: 0.8436 |
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- F1: 0.5211 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.4657 | 1.0 | 715 | 0.7454 | 0.8110 | 0.5087 | |
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| 0.2039 | 2.0 | 1430 | 0.8910 | 0.8265 | 0.4871 | |
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| 0.0559 | 3.0 | 2145 | 1.0045 | 0.8282 | 0.4603 | |
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| 0.0434 | 4.0 | 2860 | 1.0742 | 0.8454 | 0.5008 | |
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| 0.0297 | 5.0 | 3575 | 1.2070 | 0.8436 | 0.4886 | |
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| 0.0108 | 6.0 | 4290 | 1.2899 | 0.8368 | 0.5006 | |
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| 0.0154 | 7.0 | 5005 | 1.1797 | 0.8540 | 0.5073 | |
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| 0.0081 | 8.0 | 5720 | 1.1496 | 0.8436 | 0.5047 | |
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| 0.0092 | 9.0 | 6435 | 1.2508 | 0.8436 | 0.5211 | |
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| 0.0052 | 10.0 | 7150 | 1.2359 | 0.8471 | 0.4992 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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